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Free ANC-201 Exam Braindumps (page: 26)

Page 25 of 61
PDF with 242 Questions

The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.

How can an Einstein Consultant address this need?

  1. Create one application for each department and use roles to share applications.
  2. Create one application for each department, put common datasets in the shared app, and use profiles to share applications.
  3. Create one application for each department, put common datasets in the shared app, and use roles to share applications.
  4. Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.

Answer(s): C



A new field called "CardBalance" is added to the standard object. Account. The team wants to add this new field to an Einstein Analytics dataset that sources the Account object; however, the team needs to limit the users who are able to view that field's data in the dataset.

How can an Einstein Consultant help them implement this new requirement?

  1. Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.
  2. Add the new field to the existing dataset and activate "Sharing inheritance" in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.
  3. Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.
  4. Add the new field to the existing dataset and use "Security Predicates' to hide it from users who should not access it.

Answer(s): C



When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

  1. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
  2. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
  3. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
  4. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

Answer(s): B



As part of their analysis, Yasmine, Tonya, and Hadiqa need to create and save lenses to their project app.
What is the minimum app role they need to do this?

  1. Manager
  2. Viewer
  3. Editor
  4. Designer

Answer(s): C

Explanation:

Save changes to existing dashboards, lenses, and datasets in the app (saving dashboards requires the appropriate permission set license and permission) available in Editor and Manager*##**##*






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